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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Vision

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juni 2026
Deadline
4 Jun 2027

Job Description

Shape the Future of Intelligence

Nexus Horizon is at the forefront of defining the technological landscape for 2026 and beyond. We are seeking a visionary Senior AI Architect to lead our infrastructure and model deployment strategies.

In this pivotal role, you will design scalable, fault-tolerant systems that integrate cutting-edge Generative AI. You will be the bridge between theoretical research and production-grade applications, ensuring our solutions are not only powerful but also secure and efficient.

Responsibilities

  • Architect and implement scalable AI/ML infrastructure to support future growth and 2026 product roadmaps.
  • Lead the research, development, and optimization of Large Language Models (LLMs) and neural networks.
  • Design high-performance inference pipelines to reduce latency and operational costs.
  • Collaborate with product managers and engineering teams to define technical requirements and architecture standards.
  • Mentor a team of data scientists and engineers, fostering a culture of innovation and technical excellence.
  • Ensure data privacy, security, and compliance across all AI deployments.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 8+ years of experience in software engineering, with 5+ years specifically in Machine Learning and AI.
  • Expert proficiency in Python, PyTorch, TensorFlow, and SQL.
  • Proven experience deploying and managing LLMs in production environments.
  • Deep understanding of cloud native architectures (AWS, GCP, or Azure) and containerization (Kubernetes).
  • Strong leadership skills with the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Cloud Architecture AWS GCP Kubernetes System Design Leadership

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